Senior Data Engineer

Compensation

Not disclosed

Location

Sofia, Sofia, Bulgaria

Work setup

Onsite

Seniority

Senior

Employment

Not specified

Experience

2+ years

Skills

ai
analytics
api
assembly
automation
aws
crm
data-engineering
data-governance
data-lineage
data-modeling
data-warehousing
dbt
dimensional-modeling
ecs
elt
etl
fintech
gdpr
git
github
github-actions
iam
lakehouse
microsoft-fabric
power-query
powerbi
python
s3
snowflake
sql
tabular-editor
terraform

Must have

Degree in Computer Science, Data Engineering or a related field, or equivalent professional experience.
5–8 years of hands-on experience in data engineering and/or analytics engineering.

Nice to have

Scripting in Python or another modern scripting language.
Experience with AWS (ECS, S3, IAM), Terraform, Git / GitHub Actions.
Power BI Embedded, Microsoft Fabric, or a credible point of view on when not to use them.
Exposure to Microsoft Fabric Direct Lake, Snowflake Cortex, the Claude.ai connector or other AI-on-warehouse patterns.

Full description

Senior Data Engineer — Sofia, Bulgaria

Location: Sofia, Bulgaria (Onsite) · Team: Data Platform · Reports to: Head of Tech

About EC Markets and the role

EC Markets is an FCA-regulated FX and CFD brokerage with offices in London, Sofia, Cyprus and Dubai. We are building a next-generation data platform to power trading, operational and marketing intelligence, and are growing our Sofia Data Platform team as part of that investment.

We are looking for a Senior Data Engineer to lead the evolution of our Snowflake-based Data Lakehouse and establish a modern data ecosystem that supports advanced analytics, regulatory reporting and decision-making across the business. This is a high-impact role for someone with a track record of architecting and implementing scalable data platforms — ideally in financial or trading environments — who can think end-to-end, from ingestion through to management-information dashboards.

What you will be doing

Architecture & development

Take ownership of a Snowflake-centric Data Lakehouse integrating structured, semi-structured and unstructured data.

Develop and support robust ETL/ELT pipelines that ingest and transform data from multiple internal systems (trading, CRM, finance, risk) and external APIs.

Implement data models, schemas and transformation frameworks optimised for analytical and regulatory use cases.

Apply best practices in data versioning, orchestration and automation using modern data engineering tools.

Ensure scalability, data lineage and governance across the data lifecycle.

Reporting & semantic modelling

Build and own semantic models on top of Snowflake (DirectQuery and Import) using DAX, calculation groups, RLS/OLS and incremental refresh.

Develop operational reports, dashboards and data extracts for Trading, Finance, Marketing, Compliance and Operations.

Data governance & quality

Maintain high data integrity, privacy and security aligned with FCA and GDPR requirements.

Monitor and optimise query performance and storage efficiency.

Cross-functional collaboration

Partner with business units to capture data requirements and translate them into robust technical solutions.

Support regulatory, management and operational reporting requirements through structured data models.

What you will bring (non-negotiable)

Experience in financial services, trading or fintech environments.